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Hierarchical planning with vision-language models and decoupled arm-hand control unlocks dexterous grasping in cluttered, tiered workspaces where traditional methods falter.
LLMs can scalably annotate motion capture data to produce semantically rich descriptions of bimanual interactions, enabling higher-quality generation of dexterous hand motions.